The computational biology market is predicted to have a notable growth owing to its wide use by biotechnology and pharmaceutical companies to reduce the incidences of late stage failures of their drugs and to thereby curb R&D expenditure. Computational biology is also assisting in reducing the extensive use of humans in trials and is therefore useful for pediatric trials, trials on pregnant women and orphan disease research.
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This report analyses the global market for computational biology by two main types of studies-cellular modeling and disease modeling. Each of these segments has been further analyzed by various studies with use of simulation, right from drug discovery to drug development. The market has also been bifurcated on the basis of tools which include databases, software and IT infrastructure. The computational biology services market highlights the trend of in-house and contract computational biology. The end users market studies the usage pattern of academic research institutes and commercial industry. All the above mentioned segments are analyzed on the basis of market size in terms of USD million and their forecasts for the period 2012 to 2018 have also been provided. The CAGR (%) for each market segment has been estimated for the forecast period 2012 to 2018, considering 2011 as the base year.
Geographically, this market has been divided into four major regions which include North America, Europe, Asia and RoW (Rest of the world). Market sizes, forecasts and % CAGR for each region have been provided. The major drivers, restraints, challenges and growth opportunities and other qualitative dynamics have been considered in the market overview section of this report.
The competitive landscape of this industry has been covered under market share analysis by key players. Our recommendation chapter provides assistance to industry players on ways to enter this market or to establish sustainable competitive advantage.
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The global computational biology market is segmented as follows:
Computational Biology Market, By Types
- Cellular & Biological Simulation
- Computational Genomics
- Computational Proteomics
- Others (Transcriptomics/ Metabolomics)
- Disease Modeling and Simulation
- Drug Discovery
- Target Identification
- Target Validation
- Lead Discovery
- Lead Optimization
- Drug Development
- Clinical trials
- Phase I
- Phase II
- Phase III
- Human Body Simulation Software
Computational Biology Market, By Services
Computational Biology Market, By End Users
- Industry/ Commercial Players
Computational Biology Market, By Geography
- North America
- Rest of the World (RoW)
- Industry/ Commercial Players
Microcontrollers (MCU) Market By Product (8-Bit, 16-Bit, 32-Bit) - Global Industry Analysis, Size, Share, Growth And Forecast, 2012 - 2018: http://www.marketresearchreports.biz/analysis/139193
The rapidly growing automotive industry is expected to drive the microcontrollers market over the next five years. Hybrid electric vehicles are gaining popularity due to the plethora of environmental benefits they offer. This is estimated to result in increasing demand for microcontrollers, which can be primarily attributed to the large number of MCUs required for emission control and fuel efficiency in these vehicles. Additionally, price cuts in the industry due to high degree of competition are also expected to further market growth. However, unfavorable macroeconomic conditions and the moderately fragmented nature of the industry are expected to impede the market over the forecast period.
Besides automotive, the industrial segment is also a significant contributor to the overall market. Decreasing product life-cycles has resulted in growing need for agility and flexibility in the industrial ecosystem. Microcontrollers enable industrial automation by supporting extensive feedback control mechanisms, and advanced sensors among others. 32-bit microcontrollers are increasingly becoming popular as a direct consequence of reducing unit prices. These products are capable of performing complex control operations and are embedded in products that require higher processing capabilities.
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